Support Vector Machine-based classification of Alzheimer's Disease population using a combination of structural MRI biomarkers
Résumé
Our study combines two extremely popular and current research topics, disease classification and supervised learning, which should be of interest to physicians and data scientists. Purpose/Introduction: The aim of this study is to investigate the early detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI) conversion to AD using a combination of structural magnetic resonance imaging (sMRI) biomarkers.
Origine | Fichiers produits par l'(les) auteur(s) |
---|